Azure Cloud Engineer
Listed on 2026-07-01
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IT/Tech
Data Engineering, Azure
Azure Analytics Platform Design
Designing and building Azure analytics platform, data lake patterns and analytics compute environment.
Design and build a greenfield commercial analytics platform on Microsoft Azure.
Ingest structured data for analytic consumption from a wide range of sources with Azure Data Factory.
Design data lake patterns with Azure Data Lake Storage gen 2.
Build an extensible analytics compute environment with Azure Databricks that can be used directly by the end user as well as integrated with additional components like Power BI.
Prioritize modularity, reusability, and componentization of solutions.
Enable ease of use with documentation, templates, scripts, and wrapper APIs that allow a data analyst to get up and running with their preferred data sources and compute as quickly as possible.
Work collaboratively with a distributed cross org team of engineers, architects, and data analysts.
Manage pipelines for CI/CD and Release Management workflows / Github-Jenkins integration.
Must have experience and understanding of modern Identity & Access Management concepts and best practices.
Required Skills:
cloud (Azure) Data facory, data bricks, blob, storage, data lakes, etc.
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